Characterisation of Received Signal Strength Perturbations using Allan Variance
IEEE Transactions on Aerospace and Electronic Systems
Institute of Electrical and Electronics Engineers (IEEE)
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The received signal strength (RSS) of wireless signals conveys important information that has been widely used in wireless communications, localisation and tracking. Traditional RSS-based research and applications model the RSS signal using a deterministic component plus a white noise term. This paper investigates the assumption of white noise to have a further understanding of the RSS signal and proposes a methodology based on the Allan Variance (AVAR) to characterise it. Using AVAR, we model the RSS unknown perturbations as correlated random terms. These terms can account for both coloured noise or other effects such as shadowing or smallscale fading. Our results confirm that AVAR can be used to obtain a flexible model of the RSS perturbations, as expressed by coloured noise components . The study is complemented by introducing two straightforward applications of the proposed methodology: 1) The modelling and simulation of RSS noise using Wiener processes, and 2) RSS localisation using the extended Kalman filter
This paper is sponsored by the Royal Society-MOST Grant (No. 185730) and the Royal Society of Edinburgh-NSFC Grant (NNS/INT 15-16 Casaseca). Thanks are also given to the Scottish Funding Council and the Centre for Excellence in Sensor and Imaging System (CENSIS, project ref. CAF-0036) and the Digital Health and Care Institute (DHI, project Smartcough-MacMasters) for partially covering Dr. Luo’s (CENSIS) and Dr. Casasecade-la-Higuera’s (CENSIS and DHI) time. The Royal Society of Edinburgh is also acknowledged for funding associated to project HIVE
This is the author accepted manuscript. The final version is available from IEEE via the DOI in this record.
Published online 3 November 2017